Wang, Frank Z. (2014) DIANA: Data Interface All-iN-A-place for Big Data. In: IEEE Big Data Science and Engineering, 24-26 September 2014, Tsinghua. (KAR id:42265)
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Official URL: http://www.swinflow.org/confs/bdse2014/index.htm |
Abstract
“Variety” in Big Data means we have a wide range of data types and sources: e.g. file systems and database systems co-exist for decades as two popular data-accessing interfaces. This work is to unify these two interfaces by presenting a Data Interface All-iN-A-place (DIANA). The first challenge lies in distinguishing structured and un-structured data and diverting them to different underlying platforms. It is demonstrated that a speedup of 5000 in indexing has been achieved at the expense of a slowdown of 100 in extracting attributes. A DIANA-based cloud storage system is constructed for versatile, long distance and large volume big data accessing operations to address “Volume” and “Velocity” in Big Data. It encapsulates a dynamic multi-stream/multi-path engine at the socket level, which conforms to Portable Operating System Interface (POSIX).
Item Type: | Conference or workshop item (Paper) |
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Uncontrolled keywords: | big data; variety; volume; velocity; file systems; database systems; service-oriented architecture |
Subjects: |
Q Science Q Science > QA Mathematics (inc Computing science) |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
Depositing User: | Frank Wang |
Date Deposited: | 12 Aug 2014 13:32 UTC |
Last Modified: | 08 Dec 2022 10:52 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/42265 (The current URI for this page, for reference purposes) |
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